Climate change will have dire consequences and collaborative efforts are required to quickly develop and assess mitigation solutions. Agriculture is the primary source of the powerful greenhouse gas (GHG) nitrous oxide (N₂O) and an important source of GHG emissions. Due to sampling limitations, N₂O measurements have traditionally been sparse; approximately 75% of sites we reviewed sampled for fewer than 50 days within a year. Nitrous oxide emissions are highly variable and short-lived peak emission periods may contribute more than 50% to annual emissions. Gap filling around these peaks, if measured at all, can result in poor estimations under the standard practice using area under the curve. Improved gap filling methods that reflect covariate data will likely reduce uncertainty and improve annual N₂O estimates. The Global N₂O Database was created to serve as a repository for these datasets as well as become a resource for publicly available data and analytical advances.

气候变化将带来可怕的后果，需要合作才能迅速开发和评估缓解方案。农业是强大的温室气体（GHG）一氧化二氮（N ₂ O）的主要来源，也是温室气体排放的重要来源。由于采样限制，N ₂传统上，O的测量很少。在一年内，大约有75％的网站在不到50天的时间内进行了采样。一氧化二氮排放量变化很大，短暂的峰值排放期可能占年度排放量的50％以上。如果完全测量这些峰周围的间隙，则使用曲线下的面积在标准实践下可能导致较差的估计。反映协变量数据的改进的缺口填充方法可能会减少不确定性并改善年度N ₂ O估算值。在全球氮₂ O数据库的建立是为了作为这些数据集的存储库，以及成为公开的数据和分析的发展资源。